Komal Shrivastava Email & Phone Number

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

Bangalore Urban, Karnataka, India

• Utilizing analytical and technical expertise to analyze and visualize insights from the underlying data by creating appropriate metrics and defining KPIs, generating reports and identifying proper well defined Analytical needs as per the process and doing a time series prediction of the metrics. • Used different business metrics and processed them to add features, and feature engineering and used multiple regressors as predictive modelling using ML algorithms. • Providing analytical support during product launches through data analysis and visualization using PowerBI dashboards. • Leveraged advanced analytical techniques to define KPIs and generate meaningful insights, resulting in a 15% uplift in operational efficiency.

Hyderabad, Telangana, India

Analyzed large datasets to identify and prevent over 500 potential fraudulent activities, resulting in cost savings of approximately $1.2 million. • Collaborated with cross-functional teams to provide actionable insights, enhancing regional fraud prevention efforts by 20%. • Utilized data analytics techniques to perform deep dives and generate insights, improving accuracy and timeliness in detecting high-risk activities. • Presented data-driven findings

Hyderabad Area, India

• Developed and executed data analysis strategies for a pharmaceutical project, which reduced the time to market for new product implementations by 25%. • Collaborated with stakeholders, technical leads, and management to design and implement exploratory data analysis and business metadata definitions, improving data governance processes and reducing data retrieval time by 15%. • Analyzed complex datasets to identify business trends and insights, enhancing decision-making capabilities and contributing to a 10% increase in client satisfaction. • Supported data-driven decision-making by presenting findings through compelling data visualization frameworks, which improved stakeholder engagement and understanding by 20%. • Enhanced data strategy and governance by applying deep knowledge of data relevance, quality, and value, resulting in more informed and timely business decisions

Bachelor Of Technology - Btech, Computer Science Engineering

Activities and Societies: KIIT ENTREPRENEURSIP CELL, Women on WebSTUDIED B.TECH(Computer Science Engineering) and was an active member.

Pgp In Data Science, Data Science

Learnt Statistics, Machine Learning, Deep Learning, Big Data Concepts